DocumentCode :
2245482
Title :
Pipelined Parallel Architectures for High Throughput Turbo Decoding
Author :
Lou, Xizhong ; Chen, Yanmin
Author_Institution :
Coll. of Inf. Eng., China Jiliang Univ., Hangzhou
fYear :
2006
fDate :
4-7 Dec. 2006
Firstpage :
1116
Lastpage :
1119
Abstract :
A new pipelined parallel architecture for turbo decoding is presented. It runs at nearly four times the speed of the traditional architecture with tolerable hardware resource increasing. The bottleneck in turbo decoder is the add-compare-select-offset (ACSO) unit used in forward and backward recursive state metrics (FRSM, BRSM) calculation. In the new architecture the critical path in ACSO unit is divided into four shorter evenly parts by inserting four register vectors, which improves the working frequency of the turbo decoder. And the sliding window architecture is modified to make use of the new ACSO unit. At the same time, the received symbol sequence is divided into four evenly pieces, that are fed into the same ACSO unit one after another to form the pipeline. Then the speed of turbo decoder will be approximately four times as the old one
Keywords :
decoding; parallel architectures; pipeline arithmetic; turbo codes; Log-MAP algorithm; add-compare-select-offset unit; backward recursive state metrics; forward recursive state metrics; high throughput turbo decoding; pipelined parallel architectures; sliding window MAP algorithm; Computer architecture; Convolutional codes; Educational institutions; Frequency conversion; Hardware; Iterative decoding; Parallel architectures; Pipelines; Throughput; Turbo codes; ACSO unit; Log-MAP algorithm; Turbo coding; sliding window MAP algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0387-1
Type :
conf
DOI :
10.1109/APCCAS.2006.342317
Filename :
4145593
Link To Document :
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